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Conference

Human-Robot Interaction 

About: Human-Robot Interaction is an academic conference. The conference publishes majorly in the area(s): Robot & Human–robot interaction. Over the lifetime, 3285 publications have been published by the conference receiving 70755 citations.


Papers
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Proceedings ArticleDOI
02 Mar 2006
TL;DR: In this article, the authors describe an effort to identify common metrics for task-oriented human-robot interaction (HRI) and discuss the need for a toolkit of HRI metrics.
Abstract: This paper describes an effort to identify common metrics for task-oriented human-robot interaction (HRI). We begin by discussing the need for a toolkit of HRI metrics. We then describe the framework of our work and identify important biasing factors that must be taken into consideration. Finally, we present suggested common metrics for standardization and a case study. Preparation of a larger, more detailed toolkit is in progress.

721 citations

Proceedings ArticleDOI
03 Mar 2013
TL;DR: The findings indicate that for robots to seamlessly collaborate with humans, they must change the way they plan their motion, and a formalism to mathematically define and distinguish predictability and legibility of motion is developed.
Abstract: A key requirement for seamless human-robot collaboration is for the robot to make its intentions clear to its human collaborator. A collaborative robot's motion must be legible, or intent-expressive. Legibility is often described in the literature as and effect of predictable, unsurprising, or expected motion. Our central insight is that predictability and legibility are fundamentally different and often contradictory properties of motion. We develop a formalism to mathematically define and distinguish predictability and legibility of motion. We formalize the two based on inferences between trajectories and goals in opposing directions, drawing the analogy to action interpretation in psychology. We then propose mathematical models for these inferences based on optimizing cost, drawing the analogy to the principle of rational action. Our experiments validate our formalism's prediction that predictability and legibility can contradict, and provide support for our models. Our findings indicate that for robots to seamlessly collaborate with humans, they must change the way they plan their motion.

549 citations

Proceedings ArticleDOI
02 Mar 2006
TL;DR: Ethnicographic research on the actual use of domestic service robots is presented to provide a grounded understanding of how design can influence human-robot interaction in the home, and initial implications for the design of these products are offered.
Abstract: Domestic service robots have long been a staple of science fiction and commercial visions of the future. Until recently, we have only been able to speculate about what the experience of using such a device might be. Current domestic service robots, introduced as consumer products, allow us to make this vision a reality.This paper presents ethnographic research on the actual use of these products, to provide a grounded understanding of how design can influence human-robot interaction in the home. We used an ecological approach to broadly explore the use of this technology in this context, and to determine how an autonomous, mobile robot might "fit" into such a space. We offer initial implications for the design of these products: first, the way the technology is introduced is critical; second, the use of the technology becomes social; and third, that ideally, homes and domestic service robots must adapt to each other.

527 citations

Journal ArticleDOI
28 Jul 2012
TL;DR: This work systematically reviews how researchers conducted Wizard of Oz experiments published in the primary HRI publication venues from 2001 -- 2011 and proposes new reporting guidelines to aid future research.
Abstract: Many researchers use Wizard of Oz (WoZ) as an experimental technique, but there are methodological concerns over its use, and no comprehensive criteria on how to best employ it. We systematically review 54 WoZ experiments published in the primary HRI publication venues from 2001 -- 2011. Using criteria proposed by Fraser and Gilbert (1991), Green et al. (2004), Steinfeld et al. (2009), and Kelley (1984), we analyzed how researchers conducted HRI WoZ experiments. Researchers mainly used WoZ for verbal (72.2%) and non-verbal (48.1%) processing. Most constrained wizard production (90.7%), but few constrained wizard recognition (11%). Few reported measuring wizard error (3.7%), and few reported pre-experiment wizard training (5.4%). Few reported using WoZ in an iterative manner (24.1%). Based on these results we propose new reporting guidelines to aid future research.

456 citations

Proceedings ArticleDOI
02 Mar 2015
TL;DR: It is suggested that the nature of the task requested by the robot, e.g. whether its effects are revocable as opposed to irrevocable, has a significant impact on participants’ willingness to follow its instructions.
Abstract: How do mistakes made by a robot affect its trustworthiness and acceptance in human-robot collaboration? We investigate how the perception of erroneous robot behavior may influence human interaction choices and the willingness to cooperate with the robot by following a number of its unusual requests. For this purpose, we conducted an experiment in which participants interacted with a home companion robot in one of two experimental conditions: (1) the correct mode or (2) the faulty mode. Our findings reveal that, while significantly affecting subjective perceptions of the robot and assessments of its reliability and trustworthiness, the robot's performance does not seem to substantially influence participants' decisions to (not) comply with its requests. However, our results further suggest that the nature of the task requested by the robot, e.g. whether its effects are revocable as opposed to irrevocable, has a significant impact on participants' willingness to follow its instructions.

406 citations

Performance
Metrics
No. of papers from the Conference in previous years
YearPapers
202210
2021250
2020325
2019213
2018360
2017281